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Outputs (2296)

Many-objective Optimisation for an Integrated Supply Chain Management Problem (2021)
Book Chapter
Türk, S., Özcan, E., & John, R. (2021). Many-objective Optimisation for an Integrated Supply Chain Management Problem. In R. Matoušek, & J. Kůdela (Eds.), Recent Advances in Soft Computing and Cybernetics (97-111). Springer Nature. https://doi.org/10.1007/978-3-030-61659-5_9

Due to the complexity of the supply chain with multiple conflicting objectives requiring a search for a set of trade-off solutions, there has been a range of studies applying multi-objective methods. In recent years, there has been a growing interest... Read More about Many-objective Optimisation for an Integrated Supply Chain Management Problem.

Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes (2021)
Journal Article
Schoene, A. M., Turner, A. P., De Mel, G., & Dethlefs, N. (2023). Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. IEEE Transactions on Affective Computing, 14(1), 153-164. https://doi.org/10.1109/TAFFC.2021.3057105

Recent statistics in suicide prevention show that people are increasingly posting their last words online and with the unprecedented availability of textual data from social media platforms researchers have the opportunity to analyse such data. Furth... Read More about Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes.

Towards Blockchain-based Ride-sharing Systems (2021)
Presentation / Conference Contribution
Vazquez, E., & Landa-Silva, D. (2021, February). Towards Blockchain-based Ride-sharing Systems. Presented at ICORES 2021 - Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, Online

Blockchain technology has been used in finance, health care, supply chain, and transport, with the main goals of improving security and eliminating the need for a third party to manage transactions in the system. In blockchain, smart contracts are us... Read More about Towards Blockchain-based Ride-sharing Systems.

Interpersonalizing Intimate Museum Experiences (2021)
Journal Article
Ryding, K., Spence, J., Løvlie, A. S., & Benford, S. (2021). Interpersonalizing Intimate Museum Experiences. International Journal of Human-Computer Interaction, 37(12), 1151-1172. https://doi.org/10.1080/10447318.2020.1870829

We reflect on two museum visiting experiences that adopted the strategy of interpersonalization in which one visitor creates an experience for another. In the Gift app, visitors create personal mini-tours for specific others. In Never let me go, one... Read More about Interpersonalizing Intimate Museum Experiences.

Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography (2021)
Journal Article
Cimpoiasu, M. O., Kuras, O., Wilkinson, P., Pridmore, T., & Mooney, S. J. (2021). Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography. Vadose Zone Journal, 20(4), Article e20109. https://doi.org/10.1002/vzj2.20109

© 2020 The Authors. Vadose Zone Journal published by Wiley Periodicals LLC on behalf of Soil Science Society of America Modern agricultural practices can cause significant stress on soil, which ultimately has degrading effects, such as compaction. Th... Read More about Hydrodynamic characterization of soil compaction using integrated electrical resistivity and X-ray computed tomography.

Predicting Plant Growth from Time-Series Data Using Deep Learning (2021)
Journal Article
Yasrab, R., Zhang, J., Smyth, P., & Pound, M. P. (2021). Predicting Plant Growth from Time-Series Data Using Deep Learning. Remote Sensing, 13(3), 1-17. https://doi.org/10.3390/rs13030331

Phenotyping involves the quantitative assessment of the anatomical, biochemical, and physiological plant traits. Natural plant growth cycles can be extremely slow, hindering the experimental processes of phenotyping. Deep learning offers a great deal... Read More about Predicting Plant Growth from Time-Series Data Using Deep Learning.

Construction of the circle in UniMath (2021)
Journal Article
Bezem, M., Buchholtz, U., Grayson, D. R., & Shulman, M. (2021). Construction of the circle in UniMath. Journal of Pure and Applied Algebra, 225(10), Article 106687. https://doi.org/10.1016/j.jpaa.2021.106687

We show that the type TZ of Z-torsors has the dependent universal property of the circle, which characterizes it up to a unique homotopy equivalence. The construction uses Voevodsky's Univalence Axiom and propositional truncation, yielding a stand-al... Read More about Construction of the circle in UniMath.

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images (2021)
Presentation / Conference Contribution
Calderon-Ramirez, S., Giri, R., Moemeni, A., Umaña, M., Elizondo, D., Torrents-Barrena, J., & Molina-Cabello, M. A. (2021, January). Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. Presented at 2020 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy

Coronavirus (Covid-19) is spreading fast, infecting people through contact in various forms including droplets from sneezing and coughing. Therefore, the detection of infected subjects in an early, quick and cheap manner is urgent. Currently availabl... Read More about Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.

Understanding cybersecurity behavioral habits: Insights from situational support (2021)
Journal Article
Hong, Y., & Furnell, S. (2021). Understanding cybersecurity behavioral habits: Insights from situational support. Journal of Information Security and Applications, 57, Article 102710. https://doi.org/10.1016/j.jisa.2020.102710

© 2020 While the Internet has become an indispensable aspect of personal and professional lives, it has also served to render many individuals vulnerable to cybersecurity threats. Thus, the promotion of cybersecurity behaviors can effectively protect... Read More about Understanding cybersecurity behavioral habits: Insights from situational support.